{"id":"https://openalex.org/W2753389120","doi":"https://doi.org/10.1109/ifsa-scis.2017.8023314","title":"Performance comparison of EMO algorithms on test problems with different search space shape","display_name":"Performance comparison of EMO algorithms on test problems with different search space shape","publication_year":2017,"publication_date":"2017-06-01","ids":{"openalex":"https://openalex.org/W2753389120","doi":"https://doi.org/10.1109/ifsa-scis.2017.8023314","mag":"2753389120"},"language":"en","primary_location":{"id":"doi:10.1109/ifsa-scis.2017.8023314","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ifsa-scis.2017.8023314","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems (IFSA-SCIS)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070679258","display_name":"Yuki Tanigaki","orcid":"https://orcid.org/0000-0002-4058-4480"},"institutions":[{"id":"https://openalex.org/I15807432","display_name":"Osaka Prefecture University","ror":"https://ror.org/02cf1je33","country_code":"JP","type":"education","lineage":["https://openalex.org/I15807432"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Yuki Tanigaki","raw_affiliation_strings":["Department of Computer Science and Intelligent Systems, Osaka Prefecture University, Sakai, Osaka, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Intelligent Systems, Osaka Prefecture University, Sakai, Osaka, Japan","institution_ids":["https://openalex.org/I15807432"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004957967","display_name":"Yusuke Nojima","orcid":"https://orcid.org/0000-0003-4853-1305"},"institutions":[{"id":"https://openalex.org/I15807432","display_name":"Osaka Prefecture University","ror":"https://ror.org/02cf1je33","country_code":"JP","type":"education","lineage":["https://openalex.org/I15807432"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yusuke Nojima","raw_affiliation_strings":["Department of Computer Science and Intelligent Systems, Osaka Prefecture University, Sakai, Osaka, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Intelligent Systems, Osaka Prefecture University, Sakai, Osaka, Japan","institution_ids":["https://openalex.org/I15807432"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035595838","display_name":"Hisao Ishibuchi","orcid":"https://orcid.org/0000-0001-9186-6472"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]},{"id":"https://openalex.org/I15807432","display_name":"Osaka Prefecture University","ror":"https://ror.org/02cf1je33","country_code":"JP","type":"education","lineage":["https://openalex.org/I15807432"]}],"countries":["CN","JP"],"is_corresponding":false,"raw_author_name":"Hisao Ishibuchi","raw_affiliation_strings":["Department of Computer Science and Engineering, Southern University of Science and Technology (SUSTech), Nanshan, Shenzhen, Guangdong, China","Department of Computer Science and Intelligent Systems, Osaka Prefecture University, Sakai, Osaka, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Southern University of Science and Technology (SUSTech), Nanshan, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I3045169105"]},{"raw_affiliation_string":"Department of Computer Science and Intelligent Systems, Osaka Prefecture University, Sakai, Osaka, Japan","institution_ids":["https://openalex.org/I15807432"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5070679258"],"corresponding_institution_ids":["https://openalex.org/I15807432"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.15490301,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.6492190361022949},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6392021775245667},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5553497672080994},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.546116292476654},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.5237676501274109},{"id":"https://openalex.org/keywords/pareto-principle","display_name":"Pareto principle","score":0.49298378825187683},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.48578503727912903},{"id":"https://openalex.org/keywords/search-algorithm","display_name":"Search algorithm","score":0.42279762029647827},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.37647560238838196}],"concepts":[{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.6492190361022949},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6392021775245667},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5553497672080994},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.546116292476654},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.5237676501274109},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.49298378825187683},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.48578503727912903},{"id":"https://openalex.org/C125583679","wikidata":"https://www.wikidata.org/wiki/Q755673","display_name":"Search algorithm","level":2,"score":0.42279762029647827},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37647560238838196},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ifsa-scis.2017.8023314","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ifsa-scis.2017.8023314","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems (IFSA-SCIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W60686164","https://openalex.org/W270154842","https://openalex.org/W1504954800","https://openalex.org/W1558919105","https://openalex.org/W1583275772","https://openalex.org/W1588375755","https://openalex.org/W1608317386","https://openalex.org/W1846834309","https://openalex.org/W1976159118","https://openalex.org/W2072441740","https://openalex.org/W2126105956","https://openalex.org/W2143381319","https://openalex.org/W2559146116","https://openalex.org/W2612169040","https://openalex.org/W2621032660","https://openalex.org/W2950680102","https://openalex.org/W6633513437","https://openalex.org/W6634671640","https://openalex.org/W6635433731","https://openalex.org/W6638887577","https://openalex.org/W6738459688"],"related_works":["https://openalex.org/W2090178682","https://openalex.org/W2906115061","https://openalex.org/W2073147994","https://openalex.org/W2977596624","https://openalex.org/W2001591765","https://openalex.org/W4241467429","https://openalex.org/W2145877535","https://openalex.org/W2744730182","https://openalex.org/W2384474142","https://openalex.org/W3083133203"],"abstract_inverted_index":{"We":[0],"examine":[1],"the":[2,14,18,22,26,31,40,43,61,80,100,109,122,125,128,134,144,192],"performance":[3,111,118,146],"of":[4,13,35,42,65,91,124],"evolutionary":[5],"multi-objective":[6,55],"optimization":[7,56],"(EMO)":[8],"algorithms":[9,165,187],"on":[10,39],"various":[11],"shapes":[12],"search":[15,44,145],"space":[16,20],"in":[17,25,96,127],"objective":[19,27],"(i.e.,":[21],"feasible":[23],"region":[24],"space).":[28],"To":[29],"analyze":[30],"advantage":[32,62],"and":[33,63,184],"disadvantage":[34,64],"each":[36,92,103],"EMO":[37,66,114,149,164,186],"algorithm":[38],"shape":[41],"space,":[45],"we":[46,70,137,154],"propose":[47,71],"a":[48,72,167],"meta-optimization":[49],"method":[50],"which":[51,142],"can":[52,138],"automatically":[53],"create":[54],"problems":[57],"(MOPs)":[58],"for":[59,182],"clarifying":[60],"algorithms.":[67,115,150],"In":[68,79,99],"particular,":[69],"two-level":[73],"model":[74],"to":[75,107,188],"generate":[76],"such":[77],"MOPs.":[78],"upper":[81,129],"level,":[82,102],"MOPs":[83],"are":[84,94],"handled":[85],"as":[86,121],"solutions.":[87],"Some":[88],"design":[89],"variables":[90],"MOP":[93,104,126,141],"optimized":[95],"this":[97],"level.":[98,130],"lower":[101],"is":[105,119,160,177,180],"used":[106],"calculate":[108],"relative":[110,117,135],"between":[112,147],"two":[113,148,156],"The":[116,175],"regarded":[120],"fitness":[123],"Thus,":[131],"by":[132],"maximizing":[133],"performance,":[136],"obtain":[139],"an":[140],"differentiates":[143],"Through":[151],"computational":[152],"experiments,":[153],"obtained":[155],"interesting":[157],"observations.":[158],"One":[159],"that":[161,178],"Pareto":[162,194],"dominance-based":[163],"have":[166],"low":[168],"escaping":[169],"ability":[170],"from":[171],"local":[172],"Pareto-optimal":[173],"regions.":[174],"other":[176],"it":[179],"difficult":[181],"decomposition-":[183],"indicator-based":[185],"find":[189],"solutions":[190],"along":[191],"entire":[193],"front.":[195]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}